ETRI-Knowledge Sharing Plaform



논문 검색
구분 SCI
연도 ~ 키워드


학술대회 Multi-Objective Optimization Model for Partner Selection in a Market-Oriented Dynamic Collaborative Cloud Service Platform
Cited 15 time in scopus Download 2 time Share share facebook twitter linkedin kakaostory
Mohammad Mehedi Hassan, Biao Song, 한성민, 허의남, 윤장우, 류원
International Conference on Tools with Artificial Intelligence (ICTAI) 2009, pp.637-644
09MR5700, IPTV 융합서비스 및 콘텐츠 공유를 위한 개방형 IPTV 플랫폼 기술개발, 류원
In this paper, we propose a promising multi-objective (MO) optimization model for partner selection in a market-oriented dynamic collaboration (DC) platform of Cloud providers (CPs) to minimize the conflicts among providers that may happen when negotiating among providers. The model not only uses their individual information (INI) but also past collaborative relationship information (PRI) for partner selection which is seldom considered in existing approaches. A multi-objective genetic algorithm (MOGA) called MOGA-IC is also proposed to solve the model as the model is NP-hard. The algorithm is developed using two popular MOGAs- NSGAII and SPEA2. The experimental results show that MOGAIC with NSGA-II outperformed the MOGA-IC with SPEA2 in finding useful Pareto optimal solution sets. In addition, other simulation experiments are conducted to verify the effectiveness of the MOGA-IC in terms of satisfactory partner selection and conflicts minimization. © 2009 IEEE.
KSP 제안 키워드
Cloud Service Platform, Cloud providers, Existing Approaches, Market-oriented, Multi-objective Genetic Algorithm, Multi-objective optimization(MOP), NP-hard, NSGA-II, Partner selection, Simulation and experiment, collaborative cloud service